MaLGa

Congrats to Massimiliano Ciranni & Roberto Di Via for their accepted papers @wacv_official! Poster Session 1, #718 Model Debiasing & Anomaly Detection Poster Session 2, #720 Diffusion Models for X-ray Landmark Detection See you there! #WACV2025 #DeepLearning #ML #ComputerVision

📢 Join us for the 3rd talk in the MaLGa PI series! 🗓️ Feb 6th, 5 PM 📍 Palazzo Ducale, Genoa 🎙️ Silvia Villa: Computational and Statistical Foundations of Learning from Examples 🎥 Live on YouTube: @ALSL1798/streams" target="_blank" rel="nofollow noopener">youtube.com/@ALSL1798/stre… Talk in Italian – don’t miss it! #malga_center

📢 Don’t miss @FrancescaOdone 's talk on #ComputerVision and #MachineLearning! 🗓️ Jan 23, 2025, 5 PM 📍 Palazzo Ducale, Genoa 🎥Read more and stream on YouTube: malga.unige.it/news/17227 Learn how #AI + vision transform #robotics, interaction, & more. Held in Italian. #malga_center

🚀Exciting News! Paolo Alfano alongside IIT researchers is pioneering visual-tactile sensors for surface classification📷. His cutting-edge work with Diffusion Models was published at ICRA, with new findings submitted to IEEE Sensors Journal! #malga_center ieeexplore.ieee.org/abstract/docum…

🚀#Postdoc Opportunity Alert! Join #malga_center in self-supervised model-aware learning for non-linear #imagereconstruction in fluorescence microscopy. 📅 Start: May/June 2025 | 🕒 1+ year contract 📍Genova, Italy Apply by Feb 10: malga.unige.it/open-positions

Talk on super-resolution in inverse scattering, with @rom1petit and @matsanta Slides: giovannisalberti.github.io/talks/2024-alb… Funded by @ERC_Research @malga_center @UniGenova

🎉 Congrats Jacopo on your NeurIPS 2024 paper "Transferring Disentangled Representations"! Your work on bridging synthetic & real image representations introduces a new disentanglement metric & shows promising transfer results. 📚 arxiv.org/abs/2409.18017 #NeurIPS2024 #MaLGa

🚨Interested in a #postdoc in Hierarchical Methods for Human Motion Understanding and Anticipation at #malga_center? Reach out to us by Dec 20!📧#post-doctoral-fellow" target="_blank" rel="nofollow noopener">malga.unige.it/open-positions…

In this work by Mathieu Lewin, @NenLuke and @Simone_DiMarino, an external Coulomb potential (with 6 nuclei and fractional charges) for which the ground state energy of electrons is NOT convex in the number of electrons is constructed for the first time. pubs.acs.org/doi/full/10.10…

🚨Interested in a #postdoc in Hierarchical Methods for Human Motion Understanding and Anticipation at #malga_center? Reach out to us by Dec 20! 📧#post-doctoral-fellow" target="_blank" rel="nofollow noopener">malga.unige.it/open-positions…

📅Today 5 PM 📍Accademia Ligure di Scienze e Lettere 🎙@AgneseSeminara @UniGenova "#AI to Decode Animal Behavior in Unpredictable Physical Environments" (Italian🇮🇹) explores how #reinforcementlearning helps understand how animals navigate turbulent environments using sensory cues

During @BMVCconf, @moro_matte organized the 1st #workshop on Advancing #NonInvasive #HumanMotion Characterization in the #Clinical Domain: Methods and Applications #ANIMA with Lucia Migliorelli and Ronald Poppe!During the event @Bea_Lagomarsino presented her work! @malga_center

🚀 Exciting News! 🎉 Our paper "Transferring Disentangled Representations" is accepted at #NeurIPS2024! 🙌 Let's discuss! 📍 Poster #2106 📅 Wed, Dec 11, 4:30–7:30 PM PST 📍 East Exhibit Hall A-C 🔗 @arxiv : arxiv.org/abs/2409.18017 #AI #malga_center #RepresentationLearning

Kudos to Matteo Moro for presenting groundbreaking research at #ICNR2024 on preterm infant motion analysis with computer vision! 🌱🤝 #malga_center @OspedaleGaslini @NeuroLabUniGe

Great to be at @imperialcollege today, despite it beat @UniofOxford for the first time in the @worlduniranking Thanks @AB2World for the hospitality!

Join us at ANIMA 2024! Redefining #healthcare with #AI-powered motion analysis. 🗓️ Nov 28, Glasgow, @ BMVC2024. Learn more: anima2024.sites.uu.nl

Interested in a #PhD on computational imaging and learning? Join the newborn CIL unit led by Luca Calatroni at #malga_center! Send us your expression of interest at the link below. 2 open positions, deadline: December 5th. malga.unige.it/open-positions #erc #PhDposition

New paper on #machinelearning for #inverseproblems: we show that sampling methods for inclusion detection are neural networks, and can be learned! Joint work with Shiwei Sun @malga_center, @UniGenova

Domani venerdì 15 novembre, ore 16, a Imperia con Silvia Villa, @malga_center

Tomorrow, November 13, at 5:30pm CET, I'll give a talk on sampling in #inverseproblems, for the Harmonic Analysis E-Seminars sites.google.com/view/seminariv…